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What is Data Science?

Data science is an interdisciplinary field that combines statistical analysis, machine learning, and data engineering to extract insights from structured and unstructured data. It plays a crucial role in predictive analytics, business intelligence, and AI development. Data scientists use tools like Python, R, and TensorFlow to analyze and interpret data for decision-making.

Personal data
Personal data refers to any information that can directly or indirectly identify an individual, such as names, email addresses, biometric data, and financial records. Privacy laws like GDPR and CCPA regulate how organizations collect, store, and process personal data to ensure security and user control.
Privacy settings
Privacy settings refer to user-controlled options that determine how personal data is shared, stored, and used by online services and applications. These settings allow individuals to manage their privacy preferences and limit exposure to third parties.
Balanced data
Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.

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